Datenbank-Engineering
Datenbank-Architekturen für Terabytes an Daten und niedrige Latenz.
Overview
Don't let database bottlenecks slow down your application. We design clean relational schemas in MariaDB, MySQL, and PostgreSQL, optimize slow query execution, set up primary-replica clusters, and execute zero-downtime data migrations.
Key Advantages & Value
Core Features & Architecture
Everything we build into our datenbank-engineering engagements.
Schema Optimization & Normalization
Structuring tables, foreign keys, and indexes for maximum performance and integrity.
Slow Query Diagnostics
Analyzing EXPLAIN query plans and adding targeted indexes to fix execution delays.
Replication & Failover Clusters
Configuring read-replicas to offload reporting queries and enable automatic failover.
Automated Data Migration
Safely executing schema changes across production environments with zero downtime.
Proven Technologies We Use for Datenbank-Engineering
Battle-tested tools and frameworks selected for high throughput and long-term reliability.
How We Execute & Deliver
A structured, transparent engineering process from kickoff to global deployment.
Database Audit
Analyzing query logs, index usage, memory allocation, and connection pools.
Schema & Index Refactoring
Designing optimized indexes, partitioning strategies, and query rewrites.
Staging Migration Run
Testing migration scripts against snapshot data to verify zero errors.
Production Deployment
Executing zero-downtime migrations and enabling real-time database telemetry.
Got Questions?
Which databases do you specialize in?
We specialize in MariaDB, PostgreSQL, MySQL, Redis, and MongoDB.
How do you handle schema updates without taking the application offline?
We utilize multi-step migration patterns (add column -> dual write -> backfill -> drop old column) to ensure continuous application availability.
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Cloud-Infrastruktur
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